Difference between revisions of "Portal:FACES"

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(Created page with "<accesscontrol>Admin</accesscontrol> {| border="0" cellpadding="5" cellspacing="0" align="center" width="100%" ! style="background:#efefef; border:solid thin black;" |CoLab Po...")
 
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To save the personal rights of the depicted persons, the pictures of FACES are only available to researchers on a case by case basis (e.g. person by person, study by study).  
To save the personal rights of the depicted persons, the pictures of FACES are only available to researchers on a case by case basis (e.g. person by person, study by study).  


With PubMan, the [http://www.mpdl.mpg.de/ Max Planck Digital Library] (MPDL) develops a service-oriented, flexible-to-use institutional repository software. Since 2009, the repository is introduced at the Max Planck Institutes and the publication data are gradually migrated from the current repository [http://edoc.mpg.de eDoc] to the [http://pubman.mpdl.mpg.de central installation of PubMan for the MPG]. The software is a [[ESciDoc_Solutions_summary|solution]] within the [http://www.escidoc-project.de/JSPWiki/en/Startpage eSciDoc project], which is a joint open-source project by the MPDL and the [http://www.fiz-karlsruhe.de/ FIZ Karlsruhe].
The main focus of the project &ndash; next to the integration of FACES as an online open source solution in the eSciDoc architecture - would be to add new attributes to single pictures in form of standardized metadata (e.g METS) and to implement a user management for different usage rights. Therefore, the application has to be flexible to integrate further data like the outcome of the rating study.  
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<div align="center">[[File:ESciDoc.Faces.png|link=http://faces.mpdl.mpg.de/faces/]]</div align="center">
<div align="center">[[File:ESciDoc.Faces.png|link=http://faces.mpdl.mpg.de/faces/]]</div align="center">
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! style="background:#efefef; border:solid thin black;" |FACES Quick Start
! style="background:#efefef; border:solid thin black;" |FACES Partner
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You can have a look at the [http://test-pubman.mpdl.mpg.de/pubman/ test installation] with the latest release of PubMan. <br> In order to get a '''full overview''' on the PubMan functionalities, '''please log''' on to the system with the '''demo account''' we have created for this issue. User name is "demo" and the password is also "demo".
FACES is a collaboration of the MPDL with the [http://www.mpib-berlin.mpg.de/de Max Planck Institute for Human Development], Center for Lifespan Psychology, Berlin, Germany.


In our [http://pubman.blogs.mpdl.mpg.de/ PubMan Blog] you can catch up on recent PubMan developments.  
The project coordination is organized by Ursula Flitner, head of the institute’s library.
 
The content of FACES was collected between 2005 and 2007 by Ulman Lindenberger, Natalie Ebner and Michaela Riediger.
 
The content model of the FACES software design was influenced by the predecessor database developed at the institute by Matthias Bindernagel & Natalie Ebner.  


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*Creation and export of public and private subsets for the analysis of special research questions
*Creation and export of public and private subsets for the analysis of special research questions
*Management of an unlimited quantity of attributes per picture (e.g. adding new attributes based on the output of rating studies)
*Management of an unlimited quantity of attributes per picture (e.g. adding new attributes based on the output of rating studies)
*User and rights management to realize different access rights  
*User and rights management to realize different access rights
 
<center>[[Faces_Functionalities|'''Functionalities''']]&nbsp;&nbsp;&nbsp;&nbsp;[[Faces_Data_Model|'''Data Model''']]&nbsp;&nbsp;&nbsp;&nbsp;[[Faces_Content_Models|'''Content Models''']]</center>


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Please visit our [[PubMan_Support|'''PubMan Support Page''']] to find further information on PubMan and PubMan Community or if you need help working with PubMan.
Please visit our [[Faces_Support|'''FACES Support Page''']] to find further information on FACES.


You want to contact us directly? Feel free to email the [mailto:pubman-support@gwdg.de ''' PubMan Support Team''']!</div>  
You want to contact us directly? Feel free to email the [mailto:faces-support@gwdg.de ''' FACES Support Team''']!</div>  


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Revision as of 10:24, 30 October 2013

This is a protected page.

CoLab Portal for FACES

FACES is a lifespan digital collection of adult emotional facial stimuli. It contains two sets of images of naturalistic faces of 171 women and men displaying each of 6 facial expressions: neutrality, sadness, disgust, fear, anger, and happiness. The specialty of this collection is that it comprises pictures of persons of three different age groups: young (n=58), middle-aged (n=56), and older (n=57). To save the personal rights of the depicted persons, the pictures of FACES are only available to researchers on a case by case basis (e.g. person by person, study by study).

The main focus of the project – next to the integration of FACES as an online open source solution in the eSciDoc architecture - would be to add new attributes to single pictures in form of standardized metadata (e.g METS) and to implement a user management for different usage rights. Therefore, the application has to be flexible to integrate further data like the outcome of the rating study.

ESciDoc.Faces.png


FACES Partner

FACES is a collaboration of the MPDL with the Max Planck Institute for Human Development, Center for Lifespan Psychology, Berlin, Germany.

The project coordination is organized by Ursula Flitner, head of the institute’s library.

The content of FACES was collected between 2005 and 2007 by Ulman Lindenberger, Natalie Ebner and Michaela Riediger.

The content model of the FACES software design was influenced by the predecessor database developed at the institute by Matthias Bindernagel & Natalie Ebner.

Functionalities and Concepts
  • Picture search based on the available attributes (currently ID, age group, gender, facial expression and picture set)
  • Detailed view of single pictures (and navigation within the pictures) and their attributes
  • Creation and export of public and private subsets for the analysis of special research questions
  • Management of an unlimited quantity of attributes per picture (e.g. adding new attributes based on the output of rating studies)
  • User and rights management to realize different access rights
Functionalities    Data Model    Content Models
FACES Support

Please visit our FACES Support Page to find further information on FACES.

You want to contact us directly? Feel free to email the FACES Support Team!